Gene expression data classification using topology and machine learning models

BACKGROUND: Interpretation of high-throughput gene expression data continues to require mathematical tools in data analysis that recognizes the shape of the data in high dimensions. Topological data analysis (TDA) has recently been successful in extracting robust features in several applications dea...

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Detalles Bibliográficos
Autores principales: Dey, Tamal K., Mandal, Sayan, Mukherjee, Soham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121583/
https://www.ncbi.nlm.nih.gov/pubmed/35596135
http://dx.doi.org/10.1186/s12859-022-04704-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121583/
https://www.ncbi.nlm.nih.gov/pubmed/35596135
http://dx.doi.org/10.1186/s12859-022-04704-z

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